Causal knowledge acquisition [1]}, [2]}
is crucial for many AI systems, and it is often acquired via text. [3]} hashimoto2014toward and [4]} kruengkrai2017improving applied supervised learning techniques using a benchmark training data with over 100K human-annotated CE pairs. [5]} dasgupta2018automatic explored general causal extraction using 5,000 labelled sentences. [6]} do2011minimally is an example of a minimally supervised approach. Recent studies [7]}, [8]} explored new supervised approaches on the BECauSE 2.0 [9]} corpus.
